Aside

portrait

Contact

Coding Skills

R
Matlab
Python
Excel VBA
C++
Javascript

Software

cv: (contributor) Creates awesome data-driven cv’s. ascr: (contributor) Maps sound sources using fixed microphone arrays. dshm: (author) Fits two-stage density surface Hurdle models and automates labour-intensive GIS routines. adas: (author & private) Maps sound sources using moving microphone arrays.

Languages

Italian (native)
English (fluent)
German (fluent)
French (proficient)

Disclaimer

Made w/ pagedown.

Source code on my GitHub.

Last updated on 2020-05-13.

Main

Filippo Franchini

Summary

I am a data scientist, software engineer and entrepreneur. I devise tools that help people to fill data gaps and make predictions, to automate and efficiently boost labour-intensive and time-consuming calculations, and to understand complex systems. I improved protocols and devised the first quiet multi-rotor acoustic drone to map sound sources from the air using only acoustic information.

I am currently searching for a position that allows me to apply and improve my coding skills as well as develop new methods and instruments using statistics, software engineering, machine learning and artificial intelligence.

Experience

Co-supervisor in Signal Processing, Machine Learning & Artificial Intelligence

SUPSI DTI (Department of Innovative Technologies)

Ticino, Switzerland

Present - 2020

  • MSc student co-supervision and expert at MSc thesis presentation.
  • Drone noise cancelling using a mixed approach of Machine Learning, Artificial Intelligence and Signal Processing techniques (R, Matlab).

Consultant in Statistics

University of St Andrews, Tutorful Ltd.

Scotland, UK

Present - 2018

  • Tutor and lead demonstrator in statistics, computer science, psychology and biology (R, Python, Matlab and SPSS).
  • Tutor in statistics and GIS at CEED (Centre for Educational Enhancement and Development).
  • 200+ hours taught in person and online.

Co-founder, Administrator & Data Analyst

EARFLY Sagl

Ticino, Switzerland

Present - 2017

  • Flight board and drone noise analyst (R, Python, Matlab).
  • Media, marketing and business management.
  • Partnerships with sponsors and suppliers.
  • Patent application.

Co-founder and Instructor

Guidare con Stile Sagl

Ticino, Switzerland

2020 - 2011

  • Organizing one-day courses on road security, law compliance, accident prevention, nutrition, and abuse of psychoactive substances.
  • Facilitating group discussion on relevant road issues.
  • Organizing meetings with other co-founders.

Data Scientist and Software Engineer

SUPSI Earth Science Institute

Ticino, Switzerland

2016 - 2013

  • Big multivariate time series analysis.
  • Validating, cleaning and standardizing data for exploratory analysis and pattern identification.
  • Statistical modelling and software development (Excel Visual Basic, R) to replace data gaps and make temporal predictions.

Funding

CREEM Scholarship

PhD award of £70’000 to cover tuition fees and living expenses for a period of 3.5 years.

N/A

Present - 2017

National Geographic Standard Grant

Grant of $30’000 to fund the fieldwork and part of the technology development of my PhD.

N/A

2020 - 2019

EPSRC Impact Acceleration Account

Grant of £2500 to finance part of the technology development of my PhD.

N/A

2019


Prizes & Awards

Top 10 most influential people in Ticino (Switzerland), Ticinonews - 2019

EARFLY as top 10 best innovative start-ups, Boldbrain Start-Up Challenge - 2018

The Dean’s List, University of St Andrews - 2017

The Marine Biology Prize, University of Essex - 2016

Élite-sports award, Swiss Federal Sport Office - 2009


Additional Experience

Boldbrain Start-up Challenge, 90-days Accelerator including free coaching and workshops in Value Proposition, Finance, Pitching and Intellectual Property, September-December 2018

Swiss Army, Special Force Command, 2009


Interests

Competitive Gymnastics 2006-2014

Classic and electric guitar since 1997, 7 years at Classic Guitar School

Scuba Diving PADI Open Water Diver, Nitrox and Deep speciality.

Motorboat licence

Animal lover

Wildlife photography

Travelling

Education

PhD Student in Statistics & Statistical Computing

University of St Andrews, CREEM

Scotland, UK

Present - 2017

  • New R-implemented statistical methodology to locate and map sound source using moving microphone arrays.
  • Analysis of drone noise and flight data (R, Python, Matlab)
  • Joint collaboration with the industry for the design and manufacture of the first acoustic multi-rotor drone as well as for drone noise cancelling.
  • Successful National Geographic Standard Grant and EPSRC IAA applications.
  • Organization and logistic planning of one-month fieldwork in Laos with Association Anoulak.

MSc in Applied Statistics (Marine Mammal Science)

University of St Andrews

Scotland, UK

2017 - 2016

MSc in Applied Statistics (Biogeoscience)

University of Essex

Essex, UK

2015 - 2014

  • New protocols to improve the quantification of small quantities of gases using a gas chromatograph.
  • Monte-Carlo simulation and sensitivity analysis to estimate the biogenic gas release from coral reefs worldwide.

BSc in Biology

ETH Zürich

Zürich, Switzerland

2013 - 2010

Publications